AI Systems Architect / Automation Engineer
Location: Remote / Philippines-based (Night Shift Alignment with US Hours)
Employment Type: Full-time
About the Role:
We are seeking an experienced AI Systems Architect / Automation Engineer to own the end-to-end architecture of AI-powered operational systems across the company. This is a senior technical role with broad accountability: from workflow orchestration and decision engines to operational data platforms, internal tools, and production-grade LLM features. You will be the most senior technical authority on AI and automation topics, driving reliability, scalability, and compliance across mission-critical systems.
Key Responsibilities:
- AI Systems Architecture: Design and document principled architectures, balancing deterministic logic, ML, and LLMs.
- Workflow Orchestration & Automation: Build scalable, reliable workflows across no-code and custom services.
- Decision Engines: Implement explainable, traceable allocation and matching systems with human-in-the-loop escalation.
- Operational Data Platform: Own schemas, pipelines, and integrations across SaaS systems.
- Internal Tools & CRMs: Develop CRMs, dashboards, and operational tools using low-code and framework code.
- Audit & Governance: Implement approval systems, audit trails, and compliance-ready event logs.
- Reporting & Observability: Deliver automated reporting, structured logs, metrics, and monitoring.
- AI/LLM Engineering: Ship production-ready LLM features with evaluation harnesses and cost/latency optimization.
- Reliability & Security: Own production reliability, incident response, and enforce strict access controls.
- Project Delivery: Lead projects end-to-end — discovery, design, build, rollout, training, and optimization.
Qualifications:
- 5+ years in software or automation engineering, with 2+ years building production AI/LLM-backed systems.
- Strong coding skills in Python and/or TypeScript/Node.js (both preferred).
- Advanced SQL skills for complex queries and performance optimization.
- Experience with workflow tools (Make.com, n8n, Zapier) and backend fundamentals (REST APIs, queues, retries).
- Data warehousing expertise (BigQuery or equivalent).
- Integration experience with SaaS platforms (e.g., Asana, Zoho, Slack, Google Workspace).
- Track record of owning production systems end-to-end (e.g., allocation engines, workflow platforms, CRMs, data warehouses).
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- English proficiency (CEFR C1 or above).
Preferred Skills:
- Experience with agentic AI patterns, dbt, infrastructure-as-code, or event-sourced systems.
- Strong systems thinking, technical documentation, and cross-functional communication.
- Calm, methodical debugging under production pressure.
What We’re Looking For
- Ownership mindset and engineering judgment.
- Pragmatic problem-solving — choosing the simplest maintainable solution.
- Curiosity about operational workflows and how systems are actually used.
- Comfort being the senior technical authority on AI/automation.
Skills Required
- 5+ years in software or automation engineering
- 2+ years building production AI/LLM-backed systems
- Strong coding skills in Python
- Strong coding skills in TypeScript/Node.js
- Advanced SQL skills for complex queries and performance optimization
- Experience with workflow tools (Make.com, n8n, Zapier) and backend fundamentals (REST APIs, queues, retries)
- Data warehousing expertise (BigQuery or equivalent)
- Integration experience with SaaS platforms (Asana, Zoho, Slack, Google Workspace)
- Track record of owning production systems end-to-end (allocation engines, workflow platforms, CRMs, data warehouses)
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- English proficiency (CEFR C1 or above)
- Experience with agentic AI patterns
- Experience with dbt
- Experience with infrastructure-as-code
- Experience with event-sourced systems
- Strong systems thinking, technical documentation, and cross-functional communication
- Calm, methodical debugging under production pressure
What We Do
Doneverse (formerly Outsourced Doers) is a founder support platform that connects entrepreneurs with pre-trained, remote virtual marketing assistants known as 'Doers'. By providing a comprehensive 'Growth System' that integrates strategic planning, staffing, and ongoing coaching, Doneverse helps founders delegate operational tasks, reclaim their time, and scale their businesses efficiently without burning out.
